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Prediction tools for postoperative pain
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810507/ https://www.ncbi.nlm.nih.gov/pubmed/33490846 http://dx.doi.org/10.1097/PR9.0000000000000875 |
| _version_ | 1783637315423305728 |
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| author | Yang, Michael M.H. Riva-Cambrin, Jay |
| author_facet | Yang, Michael M.H. Riva-Cambrin, Jay |
| author_sort | Yang, Michael M.H. |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7810507 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2021 |
| publisher | Wolters Kluwer |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-78105072021-01-21 Prediction tools for postoperative pain Yang, Michael M.H. Riva-Cambrin, Jay Pain Rep Correspondence Wolters Kluwer 2021-01-13 /pmc/articles/PMC7810507/ /pubmed/33490846 http://dx.doi.org/10.1097/PR9.0000000000000875 Text en Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of The International Association for the Study of Pain. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
| spellingShingle | Correspondence Yang, Michael M.H. Riva-Cambrin, Jay Prediction tools for postoperative pain |
| title | Prediction tools for postoperative pain |
| title_full | Prediction tools for postoperative pain |
| title_fullStr | Prediction tools for postoperative pain |
| title_full_unstemmed | Prediction tools for postoperative pain |
| title_short | Prediction tools for postoperative pain |
| title_sort | prediction tools for postoperative pain |
| topic | Correspondence |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7810507/ https://www.ncbi.nlm.nih.gov/pubmed/33490846 http://dx.doi.org/10.1097/PR9.0000000000000875 |
| work_keys_str_mv | AT yangmichaelmh predictiontoolsforpostoperativepain AT rivacambrinjay predictiontoolsforpostoperativepain |